๐ ATY Crew
๐ Log
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๐ก๏ธ Conditions
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๐ฌ Analysis
๐ Debrief
aty 25/26 ยท post-race
race analysis
Loading race data...
๐ Race Complete!
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laps ยท
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miles
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Race Time
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Avg Lap Time
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Total Carbs
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Total Fluids
๐ก key insights
AI-generated analysis of your race performance
๐ฝ๏ธ nutrition vs targets
How your actual intake compared to race plan targets
Metric
Actual
Target
Per Lap
Status
๐ race phase breakdown
Performance split by time of day (Day: 8am-6pm, Night: 6pm-8am)
โฑ๏ธ pace analysis
Lap time distribution and trends throughout the race
Fastest Lap
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Slowest Lap
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Average
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Consistency
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๐ cumulative nutrition
Running totals vs target trajectory throughout the race
๐ mood & energy
Athlete well-being throughout the race
Average Mood
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Lowest Point
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Peak Mood
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๐ฏ race milestones
Key achievements and notable moments during the race
๐ lap-by-lap timeline
Visual narrative of the race - nutrition, pace, mood, and gear changes together
โฑ๏ธ Pace
๐ฝ๏ธ Nutrition
๐ Mood
๐ Gear
โ Caffeine
โณ lagged effects analysis
How nutrition and caffeine intake affects performance 1-3 laps later
๐ Nutrition โ Pace (Lagged)
Does under-fueling on lap N predict slower pace on laps N+1, N+2, N+3?
๐ Nutrition โ Mood (Lagged)
Does carb intake predict mood changes 1-3 laps later?
โ caffeine effectiveness windows
Performance and mood in the laps following each caffeine dose
๐ฏ what predicts bad laps?
Machine learning-style analysis of which factors best predict slow/struggling laps
๐ด Slow Lap Predictors
Factors present before your slowest laps
๐ Low Mood Predictors
Factors present before your lowest mood laps
โ Good Lap Predictors
What was different before your best laps?
๐ fatigue model
Expected vs actual pace based on race progression and nutrition
๐ฎ what-if simulator
Estimate how different nutrition strategies might have affected your race
Carbs per lap adjustment
+0g
Fluids per lap adjustment
+0ml
Caffeine strategy
Actual (as raced)
No caffeine
Front-loaded (more early)
Steady (every 3 laps)
Night-focused (6pm-6am only)
Run Simulation
๐ Simulated Impact
๐ what happened analysis
Statistical look at when things started drifting and potential causes
๐ Deviation from Target Over Time
๐ Correlation Analysis
How different factors related to each other during the race
โ ๏ธ Critical Moments
Laps where multiple metrics drifted significantly from targets
โ caffeine strategy
Caffeine intake timing and estimated blood levels
Total Caffeine
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mg
Doses
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Peak Level
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mg/kg
๐ gear changes
Equipment changes and crew interventions throughout the race
๐ค export & share
Save your race analysis for future reference
๐จ๏ธ Print Report
๐ Copy Summary
๐พ Download Data (JSON)
Text Summary (copied to clipboard):
๐ complete lap data
Every logged lap from the race
Lap
Time
Run
Carbs
Fluids
Sodium
Caffeine
Mood
Notes